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Robotics Perception Engineer Jobs in Michigan (NOW HIRING)

May Mobility

Robotics Engineer II

Ann Arbor, MI · On-site

Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a ... Functional understanding of lidar, camera and/or radar perception systems and their hardware ...

Optimal Inc.

Robotics System Developer

Warren, MI · On-site

Build ROS2-based software for perception, communication, and motion coordination. * Integrate ... Ideal Candidate Profile The ideal candidate is a well-rounded robotics engineer who can combine ...

Kiongroup

Senior Robotics Engineer

Holland, MI · Hybrid

$113K - $151K/yr

... perception and configuration. * Mentor and guide fellow engineers, encouraging a culture of ... Develop the strategic direction of our robotics software initiatives Core Responsibilities:

Kiongroup

Senior Robotics Engineer

Holland, MI · Hybrid

$113K - $151K/yr

... perception and configuration. * Mentor and guide fellow engineers, encouraging a culture of ... Develop the strategic direction of our robotics software initiatives Core Responsibilities:

Kion Group AG

Senior Robotics Engineer

Holland, MI · On-site

$113K - $151K/yr

... perception and configuration. * Mentor and guide fellow engineers, encouraging a culture of ... Develop the strategic direction of our robotics software initiatives Core Responsibilities:

Kiongroup

Senior Robotics Engineer, Software

Holland, MI · Hybrid

$121K - $151K/yr

... perception and configuration. * Collaborate with fellow engineers, encouraging a culture of ... Collaborate with robotics, cloud, and systems teams on multi-functional efforts. * Mentor and ...

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... Engineering and R&D department. The Advanced Robotics team is focused on developing novel technologies that give robots human-like capabilities in perception and dexterity. The candidate will design ...

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Robotics Perception Engineer information

What are Robotics Perception Engineers?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by Robotics Perception Engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a Robotics Perception Engineer, and why are they important?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
What are popular job titles related to Robotics Perception Engineer jobs in Michigan? For Robotics Perception Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Robotics Perception Engineer jobs in Michigan look for? The top searched job categories for Robotics Perception Engineer jobs in Michigan are:
What cities in Michigan are hiring for Robotics Perception Engineer jobs? Cities in Michigan with the most Robotics Perception Engineer job openings:
Robotics Perception Engineer jobs near you
Robotics Engineer II

Robotics Engineer II

May Mobility

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Essential Responsibilities
  • Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software
  • Optimize and Monitor on-vehicle software for maximum reliability and minimum latency
  • Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios
  • Diagnose and root-cause issues reported by commercial operations through the May Field Response process
  • Design and oversee data collection strategies to address ML model deficiencies
  • Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
  • 2+ years experience with robotics software for physical systems in a commercial environment
  • Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
  • Basic understanding of ML model concepts such as training, architectures, and data selection
  • Functional understanding of lidar, camera and/or radar perception systems and their hardware interfaces
  • Strong programming skills in C/C++/Python in a Linux environment
  • Functional proficiency with Software concepts such as memory management, threading, databases and networking
  • Familiarity with standard development tools such as git, valgrind, and gdb

Desirable
  • Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving.
  • Experience deploying ML models to resource-constrained hardware
  • Experience with CUDA and GPU processing techniques
  • Proficiency with hard example mining, active learning or dataset composition techniques
  • Experience calculating metrics for and evaluating autonomous vehicle models
  • Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel required? - Minimal: 1%-10%

Benefits and Perks
  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range
$130,000-$155,000 USD

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